def test_compute_multi_gray_matter_mask():
pytest.raises(TypeError, compute_multi_gray_matter_mask, [])
# Check error raised if images with different shapes are given as input
imgs = [
Nifti1Image(np.ones((9, 9, 9)), np.eye(4)),
Nifti1Image(np.ones((9, 9, 8)), np.eye(4))
]
pytest.raises(ValueError, compute_multi_gray_matter_mask, imgs)
# Check results are the same if affine is the same
rng = np.random.RandomState(42)
imgs1 = [
Nifti1Image(rng.standard_normal(size=(9, 9, 9)), np.eye(4)),
Nifti1Image(rng.standard_normal(size=(9, 9, 9)), np.eye(4))
]
mask1 = compute_multi_gray_matter_mask(imgs1)
imgs2 = [
Nifti1Image(rng.standard_normal(size=(9, 9, 9)), np.eye(4)),
Nifti1Image(rng.standard_normal(size=(9, 9, 9)), np.eye(4))
]
mask2 = compute_multi_gray_matter_mask(imgs2)
assert_array_equal(get_data(mask1), get_data(mask2))
def test_deprecation_warning_compute_multi_gray_matter_mask():
imgs = [Nifti1Image(np.ones((9, 9, 9)), np.eye(4)),
Nifti1Image(np.ones((9, 9, 9)), np.eye(4))]
if distutils.version.LooseVersion(sklearn.__version__) < '0.22':
with pytest.deprecated_call():
masking.compute_multi_gray_matter_mask(imgs)
else:
with pytest.warns(FutureWarning,
match="renamed to 'compute_multi_brain_mask'"):
masking.compute_multi_gray_matter_mask(imgs)
def test_compute_multi_gray_matter_mask():
assert_raises(TypeError, compute_multi_gray_matter_mask, [])
# Check error raised if images with different shapes are given as input
imgs = [Nifti1Image(np.ones((9, 9, 9)), np.eye(4)),
Nifti1Image(np.ones((9, 9, 8)), np.eye(4))]
assert_raises(ValueError, compute_multi_gray_matter_mask, imgs)
# Check results are the same if affine is the same
imgs1 = [Nifti1Image(np.random.randn(9, 9, 9), np.eye(4)),
Nifti1Image(np.random.randn(9, 9, 9), np.eye(4))]
mask1 = compute_multi_gray_matter_mask(imgs1)
imgs2 = [Nifti1Image(np.random.randn(9, 9, 9), np.eye(4)),
Nifti1Image(np.random.randn(9, 9, 9), np.eye(4))]
mask2 = compute_multi_gray_matter_mask(imgs2)
assert_array_equal(mask1.get_data(), mask2.get_data())
def test_compute_multi_gray_matter_mask():
assert_raises(TypeError, compute_multi_gray_matter_mask, [])
# Check error raised if images with different shapes are given as input
imgs = [
Nifti1Image(np.ones((9, 9, 9)), np.eye(4)),
Nifti1Image(np.ones((9, 9, 8)), np.eye(4))
]
assert_raises(ValueError, compute_multi_gray_matter_mask, imgs)
# Check results are the same if affine is the same
imgs1 = [
Nifti1Image(np.random.randn(9, 9, 9), np.eye(4)),
Nifti1Image(np.random.randn(9, 9, 9), np.eye(4))
]
mask1 = compute_multi_gray_matter_mask(imgs1)
imgs2 = [
Nifti1Image(np.random.randn(9, 9, 9), np.eye(4)),
Nifti1Image(np.random.randn(9, 9, 9), np.eye(4))
]
mask2 = compute_multi_gray_matter_mask(imgs2)
assert_array_equal(mask1.get_data(), mask2.get_data())